Algorithmic models of seed yield and its components in smooth bromegrass (Bromus inermis L.) via large sample size under field conditions

Autor: He Zhou, Jianguo Han, Tiejun Zhang, Jian Cui, Tianming Hu, Xianguo Wang, Quanzhen Wang
Rok vydání: 2011
Předmět:
Zdroj: Euphytica. 185:363-375
ISSN: 1573-5060
0014-2336
Popis: Based on multi-factor orthogonally designed field experimental plots, the correlations among yield components as well as their direct and indirect effects on the seed yield of Bromus inermis L. cv. ‘Carlton’ were investigated. The seed yield parameters fertile tillers/m2 (Y1), spikelets/fertile tiller (Y2), florets/spikelet (Y3), seed number/spikelet (Y4), seed weight (Y5), and seed yield (Z) were determined by hand in the field for the years 2003–2005. Via ridge regression analysis, a steady algorithmic model of seed yield with its five components was found that could closely estimate the seed yield. The component Y1 had the largest correlation coefficient with Z, followed by Y2. The contributions of the five components to the seed yield in decreasing order are Y1 > Y4 > Y2 > Y5 > Y3. The inter-correlation among the components Y1 to Y5 and Z exhibited significance but Y1 was not correlated with Y3. Therefore, direct selection for large Y1, Y2, and Y4 would be an effective means of selection for high seed yield in the grass.
Databáze: OpenAIRE
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